Pinecone vs Weaviate
type: Article
description: Pinecone is a fully managed vector database optimized for production speed and ease of use, while Weaviate is an open-source alternative offering more control and flexibility but requiring self-management. Pinecone excels for enterprise deployments needing 99.99% uptime, whereas Weaviate suits teams wanting customization and lower operational overhead.
language: en-US
date published: 2026-07-09T06:57:45.577Z
date created: 2026-07-09T06:57:45.577Z
date modified: 2026-07-09T06:57:45.662Z
content reference time: 2026-07-09T06:57:45.662Z
author: A Versus B
publisher: A Versus B
about: Pinecone
about: Weaviate
abstract: Pinecone is a fully managed vector database optimized for production speed and ease of use, while Weaviate is an open-source alternative offering more control and flexibility but requiring self-management. Pinecone excels for enterprise deployments needing 99.99% uptime, whereas Weaviate suits teams wanting customization and lower operational overhead.
text: Deployment Model. Query Latency (p99). Starting Price (Monthly). Storage Limit (Free Tier). Hybrid Search Support. Setup Time to Production. SLA Uptime Guarantee
conclusion text: Choose Pinecone if you need ultra-low latency, enterprise SLA guarantees, and prefer outsourcing infrastructure management—ideal for production AI/search applications at scale. Choose Weaviate if you prioritize cost control, want to self-host, need customization flexibility, or prefer open-source solutions with community support.
additional property: Setup Time (Basic)
  type: PropertyValue
  value: Pinecone: 5-10 | Weaviate: N/A
additional property: Initial Cost
  type: PropertyValue
  value: Pinecone: $0 (free tier limited to 1M vectors) | Weaviate: N/A
additional property: Monthly Cost at 100M Vectors
  type: PropertyValue
  value: Pinecone: $400-600 | Weaviate: N/A
additional property: Supported Index Types
  type: PropertyValue
  value: Pinecone: 3 (pod, serverless, custom) | Weaviate: N/A
additional property: Vector Store Integrations
  type: PropertyValue
  value: Pinecone: 0 (standalone database) | Weaviate: N/A
additional property: Query Latency (p50)
  type: PropertyValue
  value: Pinecone: 50-80 | Weaviate: N/A
additional property: Free Tier Vector Capacity
  type: PropertyValue
  value: Pinecone: 1 | Weaviate: N/A
additional property: Pricing Model
  type: PropertyValue
  value: Pinecone: Pay-per-usage (storage + queries) | Weaviate: N/A
additional property: Estimated Monthly Cost at 100GB
  type: PropertyValue
  value: Pinecone: $200-400 (managed pricing) | Weaviate: N/A
additional property: Vector Dimension Limit
  type: PropertyValue
  value: Pinecone: Unlimited | Weaviate: N/A
additional property: Time to First Query
  type: PropertyValue
  value: Pinecone: 5-10 minutes | Weaviate: 30-45 minutes (self-hosted)
  value reference: Pinecone
additional property: GitHub Stars/Community Size
  type: PropertyValue
  value: Pinecone: ~2,500 stars | Weaviate: N/A
additional property: Self-Hosting Available
  type: PropertyValue
  value: Pinecone: No (SaaS only) | Weaviate: N/A
additional property: Metadata Filtering Complexity
  type: PropertyValue
  value: Pinecone: Boolean operators, ranges, sparse-dense hybrid | Weaviate: N/A
additional property: Minimum Setup Time
  type: PropertyValue
  value: Pinecone: 15-30 minutes | Weaviate: 30-60 minutes
  value reference: Pinecone
additional property: Cost for 1M Monthly Read Operations
  type: PropertyValue
  value: Pinecone: $0.40-1.25 | Weaviate: N/A
additional property: Vector Dimensionality Support
  type: PropertyValue
  value: Pinecone: Up to 20,000 dimensions | Weaviate: N/A
additional property: Uptime SLA Guarantee
  type: PropertyValue
  value: Pinecone: 99.99% | Weaviate: N/A
additional property: SQL Relational Query Integration
  type: PropertyValue
  value: Pinecone: No (separate system) | Weaviate: N/A
additional property: GitHub Community Stars
  type: PropertyValue
  value: Pinecone: ~2,500 (closed-source) | Weaviate: 13,000+ stars
  value reference: Weaviate
additional property: Monthly Starting Cost
  type: PropertyValue
  value: Pinecone: $70 (minimum pod + index) | Weaviate: N/A
additional property: Maximum Vector Storage
  type: PropertyValue
  value: Pinecone: 100M+ (unlimited with multi-pod) | Weaviate: N/A
additional property: Maximum Vector Dimensions
  type: PropertyValue
  value: Pinecone: 20,480 | Weaviate: Unlimited
additional property: Query Latency (p99)
  type: PropertyValue
  value: Pinecone: 20-30ms | Weaviate: 50-100ms
  value reference: Pinecone
additional property: Setup Time (Local Development)
  type: PropertyValue
  value: Pinecone: 15-20 (account + API key setup) | Weaviate: N/A
additional property: GitHub Stars
  type: PropertyValue
  value: Pinecone: Not public (proprietary) | Weaviate: ~4,000
additional property: Cost at 10M Vectors/Month
  type: PropertyValue
  value: Pinecone: ~$150-200 (pod + index + compute) | Weaviate: N/A
additional property: Free Tier Vector Limit
  type: PropertyValue
  value: Pinecone: 100,000 vectors | Weaviate: Unlimited (self-hosted)
additional property: Estimated Monthly Cost (1M vectors)
  type: PropertyValue
  value: Pinecone: $10 + storage | Weaviate: $500-800 (managed)
  value reference: Pinecone
additional property: Native Hybrid Search Support
  type: PropertyValue
  value: Pinecone: Metadata filtering only | Weaviate: BM25 keyword + vector
additional property: Monthly Cost (1M vectors, 1K queries/day)
  type: PropertyValue
  value: Pinecone: $45-80 | Weaviate: N/A
additional property: Maximum Vectors Supported
  type: PropertyValue
  value: Pinecone: 5 billion (enterprise) | Weaviate: N/A
additional property: Average Query Latency (p50)
  type: PropertyValue
  value: Pinecone: 45-120ms | Weaviate: N/A
additional property: Setup Time (production-ready)
  type: PropertyValue
  value: Pinecone: 0.25 hours | Weaviate: N/A
additional property: Native Integration Count
  type: PropertyValue
  value: Pinecone: 25+ (LangChain, LlamaIndex, OpenAI) | Weaviate: N/A
additional property: Data Export Capability
  type: PropertyValue
  value: Pinecone: Limited; JSON export only, subject to egress costs | Weaviate: N/A
additional property: Setup Time to Production
  type: PropertyValue
  value: Pinecone: 3-5 minutes | Weaviate: 24-72 hours
  value reference: Pinecone
additional property: Starting Cost (Annual)
  type: PropertyValue
  value: Pinecone: $50 (Starter tier minimum) | Weaviate: N/A
additional property: Maximum Vectors at Scale
  type: PropertyValue
  value: Pinecone: 10B+ (unlimited) | Weaviate: N/A
additional property: Query Latency (P95)
  type: PropertyValue
  value: Pinecone: <100ms global | Weaviate: N/A
additional property: Uptime Guarantee
  type: PropertyValue
  value: Pinecone: 99.95% | Weaviate: N/A
additional property: Documentation Quality Score
  type: PropertyValue
  value: Pinecone: 9/10 | Weaviate: N/A
additional property: Metadata Filter Complexity
  type: PropertyValue
  value: Pinecone: Advanced (AND/OR/NOT) | Weaviate: N/A
additional property: Free Tier Capacity
  type: PropertyValue
  value: Pinecone: 100,000 free vectors | Weaviate: N/A
additional property: Production Starter Cost
  type: PropertyValue
  value: Pinecone: $70 | Weaviate: N/A
additional property: Average Query Latency (P99)
  type: PropertyValue
  value: Pinecone: 50-100ms | Weaviate: N/A
additional property: Setup to Production Time
  type: PropertyValue
  value: Pinecone: 0.5 | Weaviate: N/A
additional property: Uptime SLA
  type: PropertyValue
  value: Pinecone: 99.95% | Weaviate: User-managed (no SLA)
additional property: Starting Monthly Cost
  type: PropertyValue
  value: Pinecone: $10 minimum | Weaviate: $0 (self-hosted)
  value reference: Weaviate
interactivity type: active
significant link: https://www.aversusb.net/entity/pinecone
significant link: https://www.aversusb.net/alternatives/pinecone
significant link: https://www.aversusb.net/entity/weaviate
significant link: https://www.aversusb.net/alternatives/weaviate
significant link: https://www.aversusb.net/api/answer/pinecone-vs-weaviate))
significant link: https://www.aversusb.net/api/v1/schema/pinecone-vs-weaviate))
related link: https://www.aversusb.net/compare/pinecone-vs-weaviate
related link: https://www.aversusb.net/compare/pinecone-vs-weaviate)
related link: https://www.aversusb.net/compare/llamaindex-vs-pinecone
related link: https://www.aversusb.net/compare/llamaindex-vs-weaviate
related link: https://www.aversusb.net/compare/pinecone-vs-pgvector
related link: https://www.aversusb.net/compare/pinecone-vs-qdrant
related link: https://www.aversusb.net/compare/pinecone-vs-chroma
related link: https://www.aversusb.net/compare/pinecone-vs-milvus
teaches: How to choose between Pinecone and Weaviate
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: Pinecone vs Weaviate — Side-by-side comparison on A Versus B

A Versus B
type: Organization

Pinecone
type: SoftwareApplication
language: en-US
description: Managed serverless vector database with advanced filtering and global infrastructure.
image: ImageObject
  caption: Pinecone
subject of: Pinecone vs Weaviate
image: ImageObject
  caption: Pinecone

Weaviate
type: SoftwareApplication
language: en-US
description: Open-source vector database with self-hosted and managed cloud options, emphasizing flexibility and developer control.
subject of: Pinecone vs Weaviate

Pinecone vs Weaviate — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Pinecone vs Weaviate. Contains 147 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
  type: DataDownload
  encoding format: application/json
distribution: Related comparisons JSON
  type: DataDownload
  encoding format: application/json
variable measured: Setup Time (Basic)
  type: PropertyValue
  value reference: Ease of Use
variable measured: Initial Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Monthly Cost at 100M Vectors
  type: PropertyValue
  value reference: Pricing
variable measured: Supported Index Types
  type: PropertyValue
  value reference: Features
variable measured: Vector Store Integrations
  type: PropertyValue
  value reference: Integration Support
variable measured: Query Latency (p50)
  type: PropertyValue
  value reference: Performance
variable measured: Free Tier Vector Capacity
  type: PropertyValue
  value reference: Limits
variable measured: Pricing Model
  type: PropertyValue
  value reference: Cost & Licensing
variable measured: Estimated Monthly Cost at 100GB
  type: PropertyValue
  value reference: Cost & Business
variable measured: Vector Dimension Limit
  type: PropertyValue
  value reference: Performance & Scalability
variable measured: Time to First Query
  type: PropertyValue
  value reference: Setup Speed
variable measured: GitHub Stars/Community Size
  type: PropertyValue
  value reference: Community & Adoption
variable measured: Self-Hosting Available
  type: PropertyValue
  value reference: Deployment
variable measured: Metadata Filtering Complexity
  type: PropertyValue
  value reference: Features
variable measured: Minimum Setup Time
  type: PropertyValue
  value reference: User Experience
variable measured: Cost for 1M Monthly Read Operations
  type: PropertyValue
  value reference: Pricing
variable measured: Vector Dimensionality Support
  type: PropertyValue
  value reference: Features
variable measured: Uptime SLA Guarantee
  type: PropertyValue
  value reference: Reliability
variable measured: SQL Relational Query Integration
  type: PropertyValue
  value reference: Features
variable measured: GitHub Community Stars
  type: PropertyValue
  value reference: Community
variable measured: Monthly Starting Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Vector Storage
  type: PropertyValue
  value reference: Scalability
variable measured: Maximum Vector Dimensions
  type: PropertyValue
  value reference: Scalability
variable measured: Query Latency (p99)
  type: PropertyValue
  value reference: Performance
variable measured: Setup Time (Local Development)
  type: PropertyValue
  value reference: Ease of Use
variable measured: GitHub Stars
  type: PropertyValue
  value reference: Community Adoption
variable measured: Cost at 10M Vectors/Month
  type: PropertyValue
  value reference: Pricing
variable measured: Free Tier Vector Limit
  type: PropertyValue
  value reference: Pricing & Limits
variable measured: Estimated Monthly Cost (1M vectors)
  type: PropertyValue
  value reference: Pricing & Limits
variable measured: Native Hybrid Search Support
  type: PropertyValue
  value reference: Features
variable measured: Monthly Cost (1M vectors, 1K queries/day)
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Vectors Supported
  type: PropertyValue
  value reference: Scalability
variable measured: Average Query Latency (p50)
  type: PropertyValue
  value reference: Performance
variable measured: Setup Time (production-ready)
  type: PropertyValue
  value reference: Ease of Use
variable measured: Native Integration Count
  type: PropertyValue
  value reference: Features
variable measured: Data Export Capability
  type: PropertyValue
  value reference: Flexibility
variable measured: Setup Time to Production
  type: PropertyValue
  value reference: Deployment
variable measured: Starting Cost (Annual)
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Vectors at Scale
  type: PropertyValue
  value reference: Scalability
variable measured: Query Latency (P95)
  type: PropertyValue
  value reference: Performance
variable measured: Uptime Guarantee
  type: PropertyValue
  value reference: Reliability
variable measured: Documentation Quality Score
  type: PropertyValue
  value reference: Developer Experience
variable measured: Metadata Filter Complexity
  type: PropertyValue
  value reference: Features
variable measured: Free Tier Capacity
  type: PropertyValue
  value reference: Limits
variable measured: Production Starter Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Average Query Latency (P99)
  type: PropertyValue
  value reference: Performance
variable measured: Setup to Production Time
  type: PropertyValue
  value reference: Operations
variable measured: Uptime SLA
  type: PropertyValue
  value reference: Reliability
variable measured: Starting Monthly Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Query Throughput
  type: PropertyValue
  value reference: Performance
variable measured: P99 Query Latency
  type: PropertyValue
  value reference: Performance
variable measured: Setup Time (first query)
  type: PropertyValue
  value reference: Developer Experience
variable measured: GitHub Stars (Community)
  type: PropertyValue
  value reference: Community
variable measured: Code Customization
  type: PropertyValue
  value reference: Flexibility
variable measured: Free Tier Availability
  type: PropertyValue
  value reference: Pricing
variable measured: Initial Setup Time
  type: PropertyValue
  value reference: Ease of Use
variable measured: Minimum Monthly Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Production Plan Cost
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Vector Capacity
  type: PropertyValue
  value reference: Scalability
variable measured: Query Latency (p99) at 100M Vectors
  type: PropertyValue
  value reference: Performance
variable measured: REST API Support
variable measured: RBAC & Enterprise Security
variable measured: Monthly Cost (1M vectors, 768 dims)
variable measured: Time to Production
variable measured: Deployment Options
variable measured: Hybrid Search Support
variable measured: API Compatibility
variable measured: Maximum Vectors Per Index
variable measured: Query Latency (p50, local/optimal)
is based on: https://www.aversusb.net/compare/pinecone-vs-weaviate))

Pinecone vs Weaviate — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Pinecone vs Weaviate.
has defined term: Ease of Use
has defined term: Pricing
has defined term: Features
has defined term: Integration Support
has defined term: Performance
has defined term: Limits
has defined term: Cost & Licensing
has defined term: Cost & Business
has defined term: Performance & Scalability
has defined term: Setup Speed
has defined term: Community & Adoption
has defined term: Deployment
has defined term: User Experience
has defined term: Reliability
has defined term: Community
has defined term: Scalability
has defined term: Community Adoption
has defined term: Pricing & Limits
has defined term: Flexibility
has defined term: Developer Experience
has defined term: Operations
has defined term: Integration
has defined term: Security
has defined term: Capability
has defined term: Integrations
has defined term: Capacity
has defined term: Usability
has defined term: Setup
has defined term: Licensing
has defined term: Development
has defined term: Architecture
has defined term: AI Features
has defined term: Cost
has defined term: Enterprise Features
has defined term: Hardware Optimization
has defined term: Resource Efficiency
has defined term: Capabilities
has defined term: Resource Requirements
has defined term: Container Orchestration
has defined term: Ecosystem
has defined term: Adoption
has defined term: Operational Ease
has defined term: API
has defined term: Setup & Deployment
has defined term: Infrastructure
has defined term: Query Capabilities
has defined term: Support

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Integration Support
type: DefinedTerm
term code: integration-support
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Limits
type: DefinedTerm
term code: limits
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Cost & Licensing
type: DefinedTerm
term code: cost-&-licensing
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Cost & Business
type: DefinedTerm
term code: cost-&-business
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Performance & Scalability
type: DefinedTerm
term code: performance-&-scalability
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Setup Speed
type: DefinedTerm
term code: setup-speed
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Community & Adoption
type: DefinedTerm
term code: community-&-adoption
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Community Adoption
type: DefinedTerm
term code: community-adoption
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Pricing & Limits
type: DefinedTerm
term code: pricing-&-limits
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Capability
type: DefinedTerm
term code: capability
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Capacity
type: DefinedTerm
term code: capacity
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Setup
type: DefinedTerm
term code: setup
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Licensing
type: DefinedTerm
term code: licensing
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

AI Features
type: DefinedTerm
term code: ai-features
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Enterprise Features
type: DefinedTerm
term code: enterprise-features
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Hardware Optimization
type: DefinedTerm
term code: hardware-optimization
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Resource Efficiency
type: DefinedTerm
term code: resource-efficiency
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Resource Requirements
type: DefinedTerm
term code: resource-requirements
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Container Orchestration
type: DefinedTerm
term code: container-orchestration
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Operational Ease
type: DefinedTerm
term code: operational-ease
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

API
type: DefinedTerm
term code: api
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Setup & Deployment
type: DefinedTerm
term code: setup-&-deployment
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Query Capabilities
type: DefinedTerm
term code: query-capabilities
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: Pinecone vs Weaviate — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T06:57:45.662Z
author: A Versus B
publisher: A Versus B
is part of: pinecone-vs-weaviate))
main entity: Which is cheaper for a startup with 10M vectors?
  type: Question
  accepted answer: Answer
    text: Weaviate self-hosted is free (only infrastructure costs ~$50-200/month on AWS). Pinecone would cost ~$400-600/month ($0.04 × 10M vectors + usage fees). For cost-sensitive startups, Weaviate self-hosted wins significantly.
    language: en-US
main entity: Can I switch from Pinecone to Weaviate later?
  type: Question
  accepted answer: Answer
    text: Yes, both support standard vector formats and JSON exports, but migration requires reindexing your data (typically 2-8 hours depending on volume). Weaviate's GraphQL API differs from Pinecone's REST API, so application code needs refactoring.
    language: en-US
main entity: Which performs better for real-time recommendation systems?
  type: Question
  accepted answer: Answer
    text: Pinecone's 20-30ms p99 latency is optimal for sub-100ms recommendation serving. Weaviate's 50-100ms latency works for most use cases but may impact user experience if combined with other service calls. Pinecone is better for ultra-low-latency requirements.
    language: en-US
main entity: Does Pinecone or Weaviate support multi-tenancy better?
  type: Question
  accepted answer: Answer
    text: Weaviate has native multi-tenancy with row-level security built-in (tenant isolation at storage level). Pinecone requires using namespaces or separate indexes, which adds operational complexity. Weaviate wins for multi-tenant SaaS platforms.
    language: en-US
main entity: What's the learning curve difference?
  type: Question
  accepted answer: Answer
    text: Pinecone has a shallower learning curve (GraphQL/REST API, 2-4 hours to first production query). Weaviate requires understanding Kubernetes (if self-hosted) or GraphQL querying, but extensive documentation reduces friction. For managed Weaviate, both are comparable.
    language: en-US

How to Choose Between Pinecone and Weaviate
type: HowTo
description: Pinecone is a fully managed vector database optimized for production speed and ease of use, while Weaviate is an open-source alternative offering more control and flexibility but requiring self-management. Pinecone excels for enterprise deployments needing 99.99% uptime, whereas Weaviate suits teams wanting customization and lower operational overhead.
language: en-US
total time: PT3M
step: Consider: Deployment Model
step: Consider: Query Latency (p99)
step: Consider: Starting Price (Monthly)
step: Consider: Storage Limit (Free Tier)
step: Consider: Hybrid Search Support
step: Consider: Setup Time to Production
step: Consider: SLA Uptime Guarantee
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Pinecone if you need ultra-low latency, enterprise SLA guarantees, and prefer outsourcing infrastructure management—ideal for production AI/search applications at scale. Choose Weaviate if you prioritize cost control, want to self-host, need customization flexibility, or prefer open-source solutions with community support.

Consider: Deployment Model
type: HowToStep
position: 1
text: Deployment Model: Pinecone has Fully managed SaaS only, while Weaviate has Open-source with self-hosted & managed cloud options.

Consider: Query Latency (p99)
type: HowToStep
position: 2
text: Query Latency (p99): Pinecone has ~20-30ms, while Weaviate has ~50-100ms.

Consider: Starting Price (Monthly)
type: HowToStep
position: 3
text: Starting Price (Monthly): Pinecone has $0.04 per 1M vectors + $0.25/hour usage, while Weaviate has $0 (self-hosted) or $25+ (managed).

Consider: Storage Limit (Free Tier)
type: HowToStep
position: 4
text: Storage Limit (Free Tier): Pinecone has 1M vectors (Pod index), while Weaviate has Unlimited (self-hosted).

Consider: Hybrid Search Support
type: HowToStep
position: 5
text: Hybrid Search Support: Pinecone has Yes, with sparse-dense vectors, while Weaviate has Yes, native BM25 + vector search.

Consider: Setup Time to Production
type: HowToStep
position: 6
text: Setup Time to Production: Pinecone has ~2-4 hours, while Weaviate has ~1-2 days (self-hosted) or ~4 hours (managed).

Consider: SLA Uptime Guarantee
type: HowToStep
position: 7
text: SLA Uptime Guarantee: Pinecone has 99.99%, while Weaviate has 99.9% (managed tier).

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Pinecone vs Weaviate
review body: Pinecone is a fully managed vector database optimized for production speed and ease of use, while Weaviate is an open-source alternative offering more control and flexibility but requiring self-management. Pinecone excels for enterprise deployments needing 99.99% uptime, whereas Weaviate suits teams wanting customization and lower operational overhead.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Pinecone vs Weaviate

Maximum Query Throughput
type: PropertyValue
value: Pinecone: 5,000,000+ | Weaviate: 2,000,000-3,000,000
value reference: Pinecone

P99 Query Latency
type: PropertyValue
value: Pinecone: < 50ms | Weaviate: 50-150ms
value reference: Pinecone

Setup Time (first query)
type: PropertyValue
value: Pinecone: 15-30 | Weaviate: 30+ minutes (self-hosted)
value reference: Pinecone

GitHub Stars (Community)
type: PropertyValue
value: Pinecone: Proprietary (not open-source) | Weaviate: 9,200+

Code Customization
type: PropertyValue
value: Pinecone: Limited (SaaS constraints) | Weaviate: Unlimited (open-source)

Free Tier Availability
type: PropertyValue
value: Pinecone: None | Weaviate: Unlimited (self-hosted)

Initial Setup Time
type: PropertyValue
value: Pinecone: 10 minutes | Weaviate: N/A

Minimum Monthly Cost
type: PropertyValue
value: Pinecone: $0 (free tier with limits) | Weaviate: N/A

Production Plan Cost
type: PropertyValue
value: Pinecone: $84 (Pro plan, 5M vectors) | Weaviate: N/A

Maximum Vector Capacity
type: PropertyValue
value: Pinecone: 1B+ (distributed) | Weaviate: N/A

Query Latency (p99) at 100M Vectors
type: PropertyValue
value: Pinecone: < 100ms | Weaviate: N/A

REST API Support
type: PropertyValue
value: Pinecone: Yes (REST + gRPC) | Weaviate: N/A

RBAC & Enterprise Security
type: PropertyValue
value: Pinecone: Yes (SOC 2 Type II, HIPAA) | Weaviate: N/A

Monthly Cost (1M vectors, 768 dims)
type: PropertyValue
value: Pinecone: $4.00 + query fees | Weaviate: N/A

Time to Production
type: PropertyValue
value: Pinecone: 15-30 minutes | Weaviate: N/A

Deployment Options
type: PropertyValue
value: Pinecone: SaaS only (managed) | Weaviate: Kubernetes, Docker, cloud (AWS/GCP/Azure)

Hybrid Search Support
type: PropertyValue
value: Pinecone: Yes (dense + BM25) | Weaviate: N/A

API Compatibility
type: PropertyValue
value: Pinecone: Proprietary SDK + REST | Weaviate: N/A

Maximum Vectors Per Index
type: PropertyValue
value: Pinecone: 100 billion | Weaviate: N/A

Query Latency (p50, local/optimal)
type: PropertyValue
value: Pinecone: 50-100ms | Weaviate: N/A

Monthly Base Cost (starter tier)
type: PropertyValue
value: Pinecone: $25-50 | Weaviate: N/A

Supported Vector Dimensions
type: PropertyValue
value: Pinecone: Up to 20,000 | Weaviate: N/A

LangChain Integration Native Support
type: PropertyValue
value: Pinecone: Yes, official integration | Weaviate: N/A

Free Tier Storage
type: PropertyValue
value: Pinecone: 1M vectors | Weaviate: Unlimited (self-hosted)

Production Monthly Cost (Baseline)
type: PropertyValue
value: Pinecone: $1,500-3,000 | Weaviate: N/A

Setup Complexity (1-10 scale)
type: PropertyValue
value: Pinecone: 2/10 | Weaviate: N/A

API SDKs Available
type: PropertyValue
value: Pinecone: 6+ languages (Python, Node.js, Go, Java, Rust, gRPC) | Weaviate: N/A

Enterprise Security Compliance
type: PropertyValue
value: Pinecone: SOC 2 Type II, HIPAA-ready, GDPR compliant | Weaviate: N/A

SLA Uptime Guarantee
type: PropertyValue
value: Pinecone: 99.99% | Weaviate: 99.9% (managed)
value reference: Pinecone

Max Vector Dimensions Supported
type: PropertyValue
value: Pinecone: 10K dimensions | Weaviate: Unlimited

Hybrid Search Capability
type: PropertyValue
value: Pinecone: Yes (sparse-dense vectors) | Weaviate: Yes (native BM25)

Time to Production Deployment
type: PropertyValue
value: Pinecone: 2-4 hours | Weaviate: 24-48 hours (self-hosted)
value reference: Pinecone

Open-Source
type: PropertyValue
value: Pinecone: No | Weaviate: Yes (Business Source License 1.1)

Setup Time
type: PropertyValue
value: Pinecone: 15 minutes | Weaviate: N/A

p50 Query Latency (Global)
type: PropertyValue
value: Pinecone: 25ms | Weaviate: N/A

Storage Cost (1M vectors, 1536-dim)
type: PropertyValue
value: Pinecone: $50-150 | Weaviate: N/A

Supported Programming Languages
type: PropertyValue
value: Pinecone: Python, JavaScript, Go, Java, REST API | Weaviate: N/A

Deployment Model
type: PropertyValue
value: Pinecone: N/A | Weaviate: Standalone cluster (Kubernetes, Docker, Cloud)

Indexing Methods Supported
type: PropertyValue
value: Pinecone: N/A | Weaviate: 3 methods (HNSW, flat, dynamic)

Average Query Latency (1M vectors, 384-dim)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 75ms

Integrated LLM Providers
type: PropertyValue
value: Pinecone: N/A | Weaviate: 20+ providers (OpenAI, Anthropic, Cohere, Hugging Face)

Minimum Monthly Infrastructure Cost (Self-hosted Production)
type: PropertyValue
value: Pinecone: N/A | Weaviate: $800

Native Multi-tenancy Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Yes, with built-in tenant isolation

Maximum Scalability (distributed nodes)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 100+

API Query Language Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: 2 (GraphQL, REST)

Query Throughput
type: PropertyValue
value: Pinecone: N/A | Weaviate: 100,000 QPS

Maximum Collection Size
type: PropertyValue
value: Pinecone: N/A | Weaviate: 2 billion vectors

Setup Time (Cloud/Self-Hosted)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 5-10 minutes (cloud)

Built-in Hybrid Search Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Native BM25 + vector search

Licensing Cost
type: PropertyValue
value: Pinecone: N/A | Weaviate: $0-5000+/month (SaaS)

Number of Native LLM Integrations
type: PropertyValue
value: Pinecone: N/A | Weaviate: 20+ LLM providers

GPU Acceleration Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Limited (planning phase)

Query Latency (95th percentile)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 100-500 ms

Memory per 1M Vectors
type: PropertyValue
value: Pinecone: N/A | Weaviate: 8-12 GB

Startup Time (empty instance)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 20-30 seconds

Built-in LLM Integrations
type: PropertyValue
value: Pinecone: N/A | Weaviate: 15+ providers

Managed Cloud Base Price (monthly)
type: PropertyValue
value: Pinecone: N/A | Weaviate: $25/month

Multi-modal Support (native)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 3 (text, image, audio)

Throughput (vectors/second insert)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 5,000-10,000

Maximum Vectors Per Instance
type: PropertyValue
value: Pinecone: N/A | Weaviate: 100M+ (distributed)

Average Query Latency
type: PropertyValue
value: Pinecone: N/A | Weaviate: 50-150ms

Setup Time to First Query
type: PropertyValue
value: Pinecone: N/A | Weaviate: 30-60 (with Docker)

Hybrid Search Support (BM25 + Vector)
type: PropertyValue
value: Pinecone: N/A | Weaviate: Yes

Multi-Tenancy Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Native multi-tenancy with data isolation

Minimum Memory for 1M Vectors
type: PropertyValue
value: Pinecone: N/A | Weaviate: 4-8GB

Supported Deployment Modes
type: PropertyValue
value: Pinecone: N/A | Weaviate: Docker, Kubernetes, Cloud (AWS/GCP/Azure)

Max Recommended Vector Count
type: PropertyValue
value: Pinecone: N/A | Weaviate: 100M+ (distributed)

Query Filtering Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Advanced GraphQL + WHERE clauses with boolean logic

Multi-Modal Search
type: PropertyValue
value: Pinecone: N/A | Weaviate: Text, image, audio, video

Kubernetes Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Native Kubernetes-ready Helm charts

Minimum Setup Infrastructure
type: PropertyValue
value: Pinecone: N/A | Weaviate: Docker/Kubernetes cluster (4GB+ RAM minimum)

LangChain Integration Maturity
type: PropertyValue
value: Pinecone: N/A | Weaviate: Supported but secondary to GraphQL API

Memory Usage (1M 768-dim vectors)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 1.2-1.5 GB

Query Latency (1M vectors, 10 concurrent)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 45-80 ms

Minimum Starting Cost (annual)
type: PropertyValue
value: Pinecone: N/A | Weaviate: $300 (SaaS) or $0 (self-hosted)

Vector Index Types Supported
type: PropertyValue
value: Pinecone: N/A | Weaviate: 2 (HNSW, Flat)

Built-in LLM Integration
type: PropertyValue
value: Pinecone: N/A | Weaviate: Yes (OpenAI, Cohere, HuggingFace, Azure)

Query API Types
type: PropertyValue
value: Pinecone: N/A | Weaviate: 3 (GraphQL, REST, Python)

Maximum Vector Dimension Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Unlimited (tested to 4096+)

Production Deployments (Estimated)
type: PropertyValue
value: Pinecone: N/A | Weaviate: ~500 enterprise customers

Maximum Vector Scale
type: PropertyValue
value: Pinecone: N/A | Weaviate: 1+ billion

Query Latency (1M vectors)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 50-200 ms

Hybrid Search (Vector + Keyword)
type: PropertyValue
value: Pinecone: N/A | Weaviate: Yes (BM25)

Multi-modal Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Text, image, audio via modules

Enterprise Features (RBAC/Multi-tenancy)
type: PropertyValue
value: Pinecone: N/A | Weaviate: Yes

Vector Indexing Algorithm Options
type: PropertyValue
value: Pinecone: N/A | Weaviate: HNSW, FLAT, IVF, PQ

Query Type Flexibility
type: PropertyValue
value: Pinecone: N/A | Weaviate: Vector-first (GraphQL, REST)

Scalability Limit (Single Node)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 100+ with optimization

Operational Complexity (1-10 scale)
type: PropertyValue
value: Pinecone: N/A | Weaviate: High (8/10)

Native RESTful API
type: PropertyValue
value: Pinecone: N/A | Weaviate: Yes (REST + GraphQL)

Time to Production (First Query)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 25 minutes

Maximum Recommended Vector Count
type: PropertyValue
value: Pinecone: N/A | Weaviate: 500M+ vectors

Minimum RAM Requirement (Single Node)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 512 MB

Advanced Filtering Support
type: PropertyValue
value: Pinecone: N/A | Weaviate: Complex WHERE clauses, nested conditions, cross-references

Multi-Tenancy
type: PropertyValue
value: Pinecone: N/A | Weaviate: Full native support with tenant isolation

Open Source License
type: PropertyValue
value: Pinecone: N/A | Weaviate: BSL 1.1 (Source-available, eventually open)

Enterprise Support SLA
type: PropertyValue
value: Pinecone: N/A | Weaviate: 99.5% guaranteed uptime

GitHub Stars (as of 2026)
type: PropertyValue
value: Pinecone: N/A | Weaviate: 9,500+ stars

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Pinecone — Wikipedia
type: CreativeWork

Weaviate — Wikipedia
type: CreativeWork

Compare Pinecone vs Weaviate
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/pinecone-vs-weaviate))
object: Pinecone
object: Weaviate

REST API Support
type: PropertyValue
value reference: Integration

RBAC & Enterprise Security
type: PropertyValue
value reference: Security

Monthly Cost (1M vectors, 768 dims)
type: PropertyValue
value reference: Pricing

Time to Production
type: PropertyValue
value reference: Deployment

Deployment Options
type: PropertyValue
value reference: Flexibility

Hybrid Search Support
type: PropertyValue
value reference: Features

API Compatibility
type: PropertyValue
value reference: Integration

Maximum Vectors Per Index
type: PropertyValue
value reference: Scalability

Query Latency (p50, local/optimal)
type: PropertyValue
value reference: Performance

Monthly Base Cost (starter tier)
type: PropertyValue
value reference: Pricing

Supported Vector Dimensions
type: PropertyValue
value reference: Capability

LangChain Integration Native Support
type: PropertyValue
value reference: Integrations

Free Tier Storage
type: PropertyValue
value reference: Capacity

Production Monthly Cost (Baseline)
type: PropertyValue
value reference: Pricing

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Usability

API SDKs Available
type: PropertyValue
value reference: Integration

Enterprise Security Compliance
type: PropertyValue
value reference: Security

SLA Uptime Guarantee
type: PropertyValue
value reference: Reliability

Max Vector Dimensions Supported
type: PropertyValue
value reference: Features

Hybrid Search Capability
type: PropertyValue
value reference: Features

Time to Production Deployment
type: PropertyValue
value reference: Setup

Open-Source
type: PropertyValue
value reference: Licensing

Setup Time
type: PropertyValue
value reference: User Experience

p50 Query Latency (Global)
type: PropertyValue
value reference: Performance

Storage Cost (1M vectors, 1536-dim)
type: PropertyValue
value reference: Pricing

Supported Programming Languages
type: PropertyValue
value reference: Development

Deployment Model
type: PropertyValue
value reference: Architecture

Indexing Methods Supported
type: PropertyValue
value reference: Performance

Average Query Latency (1M vectors, 384-dim)
type: PropertyValue
value reference: Performance

Integrated LLM Providers
type: PropertyValue
value reference: AI Features

Minimum Monthly Infrastructure Cost (Self-hosted Production)
type: PropertyValue
value reference: Cost

Native Multi-tenancy Support
type: PropertyValue
value reference: Enterprise Features

Maximum Scalability (distributed nodes)
type: PropertyValue
value reference: Scalability

API Query Language Support
type: PropertyValue
value reference: Developer Experience

Query Throughput
type: PropertyValue
value reference: Performance

Maximum Collection Size
type: PropertyValue
value reference: Scalability

Setup Time (Cloud/Self-Hosted)
type: PropertyValue
value reference: Ease of Use

Built-in Hybrid Search Support
type: PropertyValue
value reference: Features

Licensing Cost
type: PropertyValue
value reference: Cost

Number of Native LLM Integrations
type: PropertyValue
value reference: Features

GPU Acceleration Support
type: PropertyValue
value reference: Hardware Optimization

Query Latency (95th percentile)
type: PropertyValue
value reference: Performance

Memory per 1M Vectors
type: PropertyValue
value reference: Resource Efficiency

Startup Time (empty instance)
type: PropertyValue
value reference: Deployment

Built-in LLM Integrations
type: PropertyValue
value reference: AI Features

Managed Cloud Base Price (monthly)
type: PropertyValue
value reference: Pricing

Multi-modal Support (native)
type: PropertyValue
value reference: Capabilities

Throughput (vectors/second insert)
type: PropertyValue
value reference: Performance

Maximum Vectors Per Instance
type: PropertyValue
value reference: Scalability

Average Query Latency
type: PropertyValue
value reference: Performance

Setup Time to First Query
type: PropertyValue
value reference: Ease of Use

Hybrid Search Support (BM25 + Vector)
type: PropertyValue
value reference: Features

Multi-Tenancy Support
type: PropertyValue
value reference: Features

Minimum Memory for 1M Vectors
type: PropertyValue
value reference: Resource Requirements

Supported Deployment Modes
type: PropertyValue
value reference: Deployment

Max Recommended Vector Count
type: PropertyValue
value reference: Scalability

Query Filtering Support
type: PropertyValue
value reference: Features

Multi-Modal Search
type: PropertyValue
value reference: Features

Kubernetes Support
type: PropertyValue
value reference: Container Orchestration

Minimum Setup Infrastructure
type: PropertyValue
value reference: Deployment

LangChain Integration Maturity
type: PropertyValue
value reference: Ecosystem

Memory Usage (1M 768-dim vectors)
type: PropertyValue
value reference: Performance

Query Latency (1M vectors, 10 concurrent)
type: PropertyValue
value reference: Performance

Minimum Starting Cost (annual)
type: PropertyValue
value reference: Pricing

Vector Index Types Supported
type: PropertyValue
value reference: Features

Built-in LLM Integration
type: PropertyValue
value reference: Features

Query API Types
type: PropertyValue
value reference: Features

Maximum Vector Dimension Support
type: PropertyValue
value reference: Scalability

Production Deployments (Estimated)
type: PropertyValue
value reference: Adoption

Maximum Vector Scale
type: PropertyValue
value reference: Performance

Query Latency (1M vectors)
type: PropertyValue
value reference: Performance

Hybrid Search (Vector + Keyword)
type: PropertyValue
value reference: Features

Multi-modal Support
type: PropertyValue
value reference: Features

Enterprise Features (RBAC/Multi-tenancy)
type: PropertyValue
value reference: Features

Vector Indexing Algorithm Options
type: PropertyValue
value reference: Performance

Query Type Flexibility
type: PropertyValue
value reference: Capabilities

Scalability Limit (Single Node)
type: PropertyValue
value reference: Performance

Operational Complexity (1-10 scale)
type: PropertyValue
value reference: Operational Ease

Native RESTful API
type: PropertyValue
value reference: API

Time to Production (First Query)
type: PropertyValue
value reference: Setup & Deployment

Maximum Recommended Vector Count
type: PropertyValue
value reference: Scalability

Minimum RAM Requirement (Single Node)
type: PropertyValue
value reference: Infrastructure

Advanced Filtering Support
type: PropertyValue
value reference: Query Capabilities

Multi-Tenancy
type: PropertyValue
value reference: Enterprise Features

Open Source License
type: PropertyValue
value reference: Licensing

Enterprise Support SLA
type: PropertyValue
value reference: Support

GitHub Stars (as of 2026)
type: PropertyValue
value reference: Community Adoption